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alexnet_myself_implementation

Try to construct the AlexNet and run it on my dataset of YTC

beginner_deeplearning

some examples of how to build up simple deeplearning architecture

cdl-loggabor

combine loggabor filter and cdl to improve the accuracy of image-set calssification

compute-precision-recall-f1score

dataset

depth-completion

This is an matlab implementation of CVPR'18's work of depth map completion

depth-map-upsampling

This is a matlab implementation of J.Park's work "High Quality Depth Map Upsampling for 3D-TOF Cameras" . We test our implementation with a TOF-Simulated.mat file, and our results is close to the original authors.

depth_completion

depth_map_upsampling_tof

This is a matlab implementation of J.Park's work "High Quality Depth Map Upsampling for 3D-TOF Cameras" . We test our implementation with a TOF-Simulated.mat file, and our results is close to the original authors.

dreamnet

This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has recently been accepted by the 16th Asian Conference on Computer Vision (ACCV2022).

icovds

Paper accepted by ICCV Workshop (ICCVW) 2019. \\ Title : More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework based Kernel Matrix Representation.

lda_function

a function of lda that one can use to do calssification of update this function

lda_python_sklearn

Using sklearn and python to impelement lda algorithm

mmml

MMML-ICPR‘18

mrmml-v1.0

A Matlab implementation of our previously published work in IEEE Trans. Big Data (TBD)

mycdl

The improvement of CDL.

python-i-o

short introduction of python I/O operation

r2r

Response to the submission (#1741) of KDD2024

simple_mnist_cnn

A simple program of CNN model on mnist dataset

simple_pca_lda_python

Using python to impelement PCA and LDA algorithm and trying to do simple classification problem

smdml

smtnet

spdnet

This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017

submissionid_1741_response

Response to the submission (#1741)

symnet

This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification", recently accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

tdl

An algorithm of manifold dimensional reduction with discrimiant learning on Grassmann manifold

test

u-spdnet

This work has been accepted by Neural Networks.